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Program Manager Data Analytics Jobs in Utah (NOW HIRING)

Data Analytics Engineer

Ogden, UT

$112K - $134K/yr

... managers, and subject matter experts * Successfully engage in multiple initiatives simultaneously ... Employee Assistance Program (EAP) * I Made the Grade * Holiday Club Program * Medical, Dental ...

Data Analytics Engineer

Ogden, UT · On-site

$112K - $134K/yr

... managers, and subject matter experts * Successfully engage in multiple initiatives simultaneously ... Employee Assistance Program (EAP) * I Made the Grade * Holiday Club Program * Medical, Dental ...

Senior Manager Data Engineering

Riverton, UT · On-site +1

$125K - $150K/yr

The Senior Manager, Data Engineering will play a critical role in revitalizing OTG's data analytics platform and strategy , transforming how data is leveraged across operations, finance, and guest ...

Senior Manager Data Engineering

Riverton, UT · On-site +1

$125K - $150K/yr

The Senior Manager, Data Engineering will play a critical role in revitalizing OTG's data analytics platform and strategy , transforming how data is leveraged across operations, finance, and guest ...

Program Mgr I

UT · On-site

$108K - $184K/yr

BAE Systems is looking for a Production Program Manager to join our team for an exciting ... data. * Highly analytical and organized. * Experience using PLM/Teamcenter.

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Program Manager Data Analytics information

What is the difference between Program Manager Data Analytics vs Data Analyst?

AspectProgram Manager Data AnalyticsData Analyst
CredentialsBachelor's or Master's in Business, Data Science, or related fields; certifications like PMP or CAPM beneficialBachelor's in Statistics, Data Science, or related fields; certifications like Microsoft Data Analyst Associate helpful
Work EnvironmentOversees multiple projects, collaborates with cross-functional teams, manages stakeholdersAnalyzes data sets, creates reports, supports decision-making within teams
Industry UsageCommon in tech, finance, healthcare, and large organizationsWidely used across industries for data interpretation and reporting

The Program Manager Data Analytics focuses on managing multiple analytics projects and coordinating teams, while Data Analysts primarily analyze data and generate reports. Both roles require strong analytical skills, but the Program Manager has broader responsibilities in project oversight and stakeholder management.

How does a Program Manager in Data Analytics typically collaborate with cross-functional teams?

As a Program Manager in Data Analytics, you will frequently work with data engineers, analysts, business stakeholders, and IT teams to drive analytics initiatives from conception to completion. This collaboration involves translating business objectives into technical requirements, ensuring clear communication between teams, and managing timelines and deliverables. Regular meetings, stakeholder updates, and agile project management practices are commonly used to keep everyone aligned and to adapt quickly to changing priorities. Building strong relationships across departments is essential for successfully delivering data-driven solutions.

What are the key skills and qualifications needed to thrive as a Program Manager in Data Analytics, and why are they important?

To thrive as a Program Manager in Data Analytics, you need strong project management skills, deep analytical expertise, and a background in statistics or computer science, often supported by a bachelor’s or master’s degree. Familiarity with analytics platforms (such as Tableau or Power BI), programming languages (like SQL or Python), and certifications like PMP or Agile are highly valuable. Exceptional communication, leadership, and stakeholder management skills help in aligning teams and translating complex data insights into actionable business strategies. These capabilities ensure successful delivery of analytics initiatives that drive informed decision-making and organizational growth.

What is a Program Manager in Data Analytics?

A Program Manager in Data Analytics is responsible for overseeing and coordinating multiple data analytics projects or initiatives within an organization. They work closely with data analysts, data scientists, and other stakeholders to ensure that data-driven projects align with business objectives, are delivered on time, and produce actionable insights. Their role includes strategic planning, resource allocation, risk management, and communication between technical teams and business leaders. Program Managers help bridge the gap between technical execution and organizational goals, ensuring that data analytics initiatives deliver measurable value.
What are popular job titles related to Program Manager Data Analytics jobs in Utah? For Program Manager Data Analytics jobs in Utah, the most frequently searched job titles are:
Product Manager, Data & Analytics

Full-time

Posted 26 days ago


Job description

About the Role

Nature's Sunshine is entering an ambitious new phase of growth, and data will play a central role in how the company scales. As part of that investment, we are building a new Enterprise Data & Analytics function to unlock trusted data, sharpen decision-making, and help teams improve business performance.

We are looking for a Product Manager to turn business needs into a focused roadmap for analytics products, reporting experiences, KPI adoption, and decision-support capabilities.

This is an analytics product role, not project coordination or report delivery. You will own the why, what, and priority of analytics products while partnering with analytics engineers, BI developers, business leaders, IT, and data governance stakeholders.

What You Will Own
  • Own the analytics product roadmap for assigned business domains or enterprise priorities.
  • Lead intake, discovery, scoping, and prioritization for analytics requests, dashboards, reporting products, and decision-support tools.
  • Make tradeoff recommendations based on business value, urgency, effort, reusability, adoption likelihood, and strategic priority.
  • Translate unclear needs into problem statements, requirements, user stories, acceptance criteria, and success measures.
  • Own backlog artifacts in Azure DevOps, including epics, features, user stories, dependencies, and prioritization context.
  • Partner with business leaders to clarify decision needs, reporting gaps, KPI ownership, and metric definitions.
  • Partner with Data Engineering, Analytics Engineering, and BI Development to translate business priorities into reliable data pipelines, governed metrics, semantic models, reusable data assets, and usable reporting experiences
  • Track adoption, usage, satisfaction, and business impact; reduce duplicate reporting and low-value one-off work.
What We Are Looking ForRequired Qualifications
  • 4+ years of experience in product management, analytics product ownership, business analysis, BI delivery, consulting, or a related role.
  • Proven ability to translate business problems into clear analytics requirements and prioritized delivery plans.
  • Experience working with BI tools, reporting products, KPIs, analytics products, or enterprise data platforms.
  • Strong stakeholder management skills across business, technical, and leadership audiences.
  • Ability to separate the stated request from the underlying business problem and right analytics solution.
  • Sound prioritization judgment across value, urgency, complexity, reusability, and strategic fit.
  • Clear written and verbal communication; comfort operating through ambiguity and competing priorities.
  • Ability to partner with technical teams without personally owning data engineering, semantic modeling, or dashboard development.
Preferred Qualifications
  • Experience with Power BI, Microsoft Fabric, Azure, Snowflake, Databricks, Tableau, Looker, or similar platforms.
  • Experience managing analytics roadmaps, BI backlogs, data product portfolios, or reporting governance processes.
  • Experience using Azure DevOps or a similar tool to manage epics, features, user stories, and acceptance criteria.
  • Experience communicating roadmap decisions, tradeoffs, and delivery status to senior stakeholders.
  • Familiarity with data governance, KPI standardization, semantic models, certified datasets, or enterprise reporting standards.
  • Interest in using AI-assisted workflows to improve discovery, documentation, backlog refinement, stakeholder communication, and product management practices.
Who Will Thrive Here

You will thrive in this role if you like turning messy business needs into clear choices, asking sharp questions, and focusing teams on analytics work that improves decisions.

You should be able to challenge assumptions, redirect low-value requests, and say not yet or not that way with credibility and tact. You do not need to be the deepest technical expert in the room, but you do need enough analytics fluency to understand tradeoffs, dependencies, data quality risks, and adoption barriers.

How Success Will Be Measured
  • Roadmap priorities are clear, visible, and aligned to business needs.
  • Intake and prioritization decisions are transparent and defensible.
  • Analytics products have clear users, owners, success criteria, and lifecycle status.
  • Adoption, usage, and satisfaction improve for priority analytics products.
  • Duplicate, low-value, or poorly defined reporting requests decrease over time

#ZR


Nature's Sunshine is dedicated to being a Force of Nature that champions social and environmental wellness. We are focused on building a team of professionals with diverse backgrounds and experiences to become the natural supplement company of the future. By celebrating the individuality and unique perspectives of our workforce, we empower our employees to share the healing power of nature with more people around the world. And through our commitment to sustainable processes, renewable energy usage and waste reduction initiatives, we're devoted to preserving nature and its power for future generations.

We believe we are stronger together, and our ongoing commitment to diversity, equity, inclusion and belonging ensures that every employee is treated with fairness and respect. Because doing what's right-in the right way-is how we succeed as a company and a society.